Probability Range Bands

5
  • Indicateurs
  • Florian Nuebling
    Florian Nuebling
    indicators based on statistical methods, probabilities and volatility. As price follows a random walk and assumed to follow a log-normal distributed, the provided concepts are based on log returns for normalization. Returns are mean reverting and can be approximated as normal distributed. The
  • Version: 1.0
  • Activations: 5

The indicator ‘Probability Range Bands’ gives a prediction of the amount, how much the asset is moving from its current price. The range bands give probabilities, that the candle close will not exceed this certain price level. It is also called the expected move for the current candle close.

 

This Indicator is based on statistical methods, probabilities and volatility. Asset price is assumed to follow a log-normal distribution. Therefore, log returns are used in this indicator to determine the distribution, assuming they follow a normal distribution. Other than traditional technical analysis (TA) like Support and resistance or triangles which have no statistical significance, this indicator uses levels of the underlaying distribution of log returns, which gives probability of not exceeding a certain price level.

 

The Input Settings:

Sample Size: Default 30, length of periods back to calculated the distribution of log returns

1st/2nd/3rd Multiplier: Multiplier of distribution levels. Per Default 1.00, 2.00, 3.00 represent the standard deviation levels, based on the distribution of returns. à “1st SD multipl.” == 1.00, means “1st band” represents the first standard-deviation to the up and downside.

 

How to use:

Per Default the bands for 1st, 2nd and 3rd standard deviations are plotted. That means there is a probability of 68.3% that the candle will close within the bands of upper and lower 1st standard deviation band, with the given input parameters. And a probability of 95.4% that the candle close will stay within the 2nd upper/lower band, and 99.7% that it will close within the 3rd upper/lower band. That means, there is only 0.3% chance, that the candle will close outside of the 3rd std-dev. Bands.

Summary of Default settings (1.00/2.00/3.00):

• probability of 68.3% that the candle close will stay inside of 1st SD bands

• probability of 95.4% that the candle close will stay inside of 2nd SD bands

• probability of 99.7% that the candle close will stay inside of 3rd SD bands

 

 

Remark: Indicator is provided for statistical analysis and showing probabilities only and should not be construed as financial advice.


Avis 1
Leone Soares
23
Leone Soares 2026.04.11 15:34 
 

Excellent product and outstanding customer service! They answered all my questions and provided great support.

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Spike Detector Pro - Advanced Fast Movement Detection System Introducing Spike Detector Pro, a professional tool developed for traders seeking opportunities in fast price movements. This exclusive indicator combines sophisticated technical analysis with multiple confirmation layers to identify high-probability setups. After purchase, send me a private message to receive the optimized configuration files,  the installation manual and setup instructions and  access to our private community, and di
KURAMA GOLD SIGNAL PRO (MT5) — Filtre à 7 couches · TP/SL automatique · Score de qualité · Sauvegarde de l'historique des signaux | Système de trading complet pour le XAUUSD Pas de repeint en temps réel. À l'instant où un signal apparaît, la flèche, l'entrée, le TP et le SL sont verrouillés sur place et ne bougent plus jamais ensuite. Ce que vous tradez, c'est ce signal en temps réel. Et dans la v7.20, chaque signal réellement envoyé est sauvegardé automatiquement et restauré à l'identique aprè
PrimeScalping
Temirlan Kdyrkhan
PrimeScalping is a powerful trading companion designed to generate high-probability entry signals with dynamic TP/SL/DP levels based on volatility. Built-in performance tracking shows win/loss stats, PP1/PP2 hits, and success rates — all updated live. Key Features: Buy/Sell signals with adaptive volatility bands Real-time TP/SL/DP levels based on ATR Built-in MA Filter with optional ATR/StdDev volatility Performance stats panel (Success, Profit/Loss, PP1/PP2) Alerts via popup, sound, push, or e
TrendMaestro5
Stefano Frisetti
note: this indicator is for METATRADER4, if you want the version for METATRADER5 this is the link:  https://www.mql5.com/it/market/product/108106 TRENDMAESTRO ver 2.5 TRENDMAESTRO recognizes a new TREND from the start, he never makes mistakes. The certainty of identifying a new TREND is priceless. DESCRIPTION TRENDMAESTRO identifies a new TREND in the bud, this indicator examines the volatility, volumes and momentum to identify the moment in which there is an explosion of one or more of these da
MOST ELLIOTT WAVE TOOLS JUST DRAW LINES. THIS ONE VALIDATES EVERY PATTERN AGAINST THE 3 CARDINAL RULES — OR REJECTS IT. Elliott Wave analysis is one of the most powerful — and most difficult — methods in technical trading. Most indicators fake it. They draw zigzag lines and call them waves without checking a single Elliott Wave rule. Elliott Wave Detector Pro is different. It was built from the ground up to detect, v
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Drift
Florian Nuebling
This Oscillator describes the drift of an asset, as part of the geometric Brownian Motion (GBM). As a data basis the mean reverting log returns of the asset price is considered. It gives the percentile of drift directional. For instance, a value of 0.05 means a drift of 5%, based on the selected sample size. If the value is positive, drift to higher asset values is determined.  This indicator should be used in confluence with other indicators based on volatility, probability and statistics. Li
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Percentile of Historical Volatility and Correlation Coefficient shows if the asset is cheap or expensive based on the volatility. It is used to determine a good entry point. It has two indicators built in: Historical Volatility is ranked percentile wise and its correlation to price action which gives an indication of the direction of a possible future move. Together the both indicators can give good entries and direction.   Historical Volatility is a statistical measure of the dispersion of retu
This z-score indicator shows the correct z-score of an asset, as it uses the normalized price data for calculation, which is the only correct way. Z-score is only applicable for normal distributed data, therefore not the actual price is considered, but the normalised returns, which were assumed to follow a normal distribution. Returns are mean reverting and assumed to follow a normal distribution, therefore z-score calculation of returns is more reliable than z-score on price, as price is NOT m
The RSI2.0 indicator uses normalized price data and signal processing steps to get a normal distributed oscillator with no skew (mean is zero). Therefore, it can give much better reads than the traditional RSI.   Areas/Levels of reversal: Overbought or oversold levels from traditional RSI have no statistical significance, therefore the standard deviation bands are implemented here, which can be used in similar way as possible reversal points.   Divergence: As the indicator is nearly normal dist
The Returns Momentum Oscillator (RMO) shows the difference of exponentially weighted volatility. It is used to find market tops and bottoms. Volatility comes in waves, and as the Returns often front run price action it gives directional prediction of market movement.   The Oscillator signal is RMSed (root mean squared) to make the distribution closer to Gaussian distribution. While the traditional RSI indicators are often stuck in overbought or oversold areas for a long time, RMSing of the sign
Bollinger Bands based on Returns   This indicator characterizes the price and volatility by providing a channel/band of standard deviations like the Bollinger Bands. In contrary to standard Bollinger Bands which uses price directly, this indicator uses returns due to normalization.   The standard Bollinger Bands based on price directly, were one of the first quant or statistical methods for retail traders available. The issue with these bands, standard deviations can only be calculated, if the u
Cosine-Self-Similarity: Identify Trends & Reversals What is Cosine Similarity? Cosine similarity measures how alike two sequences are by looking at the angle between them. A value of +1 means they move perfectly together, -1 means they move perfectly opposite, and 0 means there's no directional relationship. This indicator applies this concept to price returns. Is the market trending strongly, or is it choppy and reversing? Gain insight with the Cosine-Self-Similarity indicator! This powerfu
Filtrer:
Leone Soares
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Leone Soares 2026.04.11 15:34 
 

Excellent product and outstanding customer service! They answered all my questions and provided great support.

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